Selecting the best cancer risk prediction models

选择最佳的癌症风险预测模型

• 批准号: nhmrc : 1129136
• 负责人: A/Pr Roger Milne
• 金额: $ 34.75万
• 依托单位: Cancer Council Victoria
• 依托单位国家: 澳大利亚
• 项目类别: Project Grants
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/selecting-best-cancer-prediction-models/948355
• 关键词: Selecting; best; cancer; risk; prediction

Risk prediction models incorporating multiple risk factors (including genetic markers) are a recognised method to identify individuals at high risk of developing breast or colorectal cancer, but it is uncertain which model(s) currently perform best in a population setting. We aim to compare the predictive ability of each available model. Knowing which model performs best will facilitate early diagnosis, reduce overall costs by better targeting interventions and improve cancer survival.

结合多种风险因素（包括遗传标记）的风险预测模型是识别患乳腺癌或结直肠癌高风险个体的公认方法，但目前尚不确定哪种模型在人群环境中表现最佳。我们的目标是比较每个可用模型的预测能力。了解哪种模型表现最好将有助于早期诊断，通过更好的靶向干预降低总体成本，并提高癌症生存率。